Extraction and quantification of left ventricular deformation modes

By E. Remme, A. Young, Kevin F. Augenstein, B. Cowan, Peter John Hunter. 2004

45 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Daniel Rueckert
2. Wenjia Bai
3. Martin Rajchl
4. Ozan Oktay
5. Giacomo Tarroni

In Cardiology and Cardiovascular Medicine

1. Daniel Rueckert

Citations in the corpus

• Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling (2018, background): “These modes are then employed in the discrimination of distinct groups of subjects by their shape differences or to identify the ones mostly associated with diseases [10,11,12].”
• Computational mesh as a descriptor of left ventricular shape for clinical diagnosis (2013, background): “Future work will address these limitations together with the need of more meaningful modes of variation of shape, a common problem of PCA that has been previously addressed in the study of deformation [11].”
• Atlas-Based Quantification of Cardiac Remodeling Due to Myocardial Infarction (2014, methodology): “This method has been used to characterize cardiac motion [30,31] and deformation in a variety of disease groups [32].”
• Orthogonal decomposition of left ventricular remodeling in myocardial infarction (2017, unknown): “[14] developed a method to decompose shape changes into modes with clear clinical interpretation.”